code: def _setattr_hook(self, name, value):
      from keras.layers import Layer
  
      if (
          isinstance(value, torch.nn.Module)
          and not isinstance(value, Layer)
          and not name == "torch_params"
      ):
          from keras.utils.torch_utils import TorchModuleWrapper
  
          if not isinstance(self, TorchModuleWrapper):
              value = TorchModuleWrapper(value)
      return name, value
  
file_path: keras/keras/backend/torch/layer.py
imports: import torch
  from keras.backend.common.stateless_scope import in_stateless_scope
  from keras.ops.operation import Operation
label_desc: Use image node_id 5 for calling the TorchLayer obj's underlying member method code with example usage: obj._setattr_hook(name, value) and returns: name,  value